Statistics for Data Science
by James C. Mott, Rajprasath Subramanian, Shaikh Salamatullah, James D. Miller, Vijayakumar Ramdoss
Purpose
Through the practice of data mining, a data scientist can achieve (the aforementioned) goal of deriving actionable information from long information or data.
Some have said that the objective of data mining is to discover structure inside unstructured (data). For example, you might use data mining to identify customer segments to design a promotion targeting high-value customers or an inventory control plan to ensure short product shelf life.
One might confuse data querying with data mining. But if we consider the example of generating a plan for controlling inventory at a newly opened home improvement store, then by simply querying sales transactions to determine the fastest selling products from the past few months (from other store ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access